Anchor Divergences proposes context-sensitive image comparisons without changing embeddings

The researchers behind Anchor Divergences argue that semantic similarity depends on context, although it is often studied using a fixed measure of vector similarity. They say distributions over text anchors can change how images are compared without changing their embeddings.